Cited by 269Customer Service Quality and LoyaltyService and Product InnovationCustomer churn and segmentation

The effect of relational benefits on perceived value in relation to customer loyalty: An empirical study in the Australian coffee outlets industry

Chen, Po-Tsang, Hu, Hsin-Hui·2010·International Journal of Hospitality Management

Integrity signals

Registry

Crossref · 10.1016/j.ijhm.2009.09.006

Cites

96 of 96 references verified0 citation errors · 0 not checkable

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Authors
Chen, P.-T., & Hu, H.-H.
Affiliations
Ming Chuan University (TW)
Corresponding author
Chen, Po-Tsang
Venue
International Journal of Hospitality Management
Publisher
Elsevier BV
Published
2010-09
Volume
29
Issue
3
Pages
405-412
ISSN
0278-4319 (ISSN-L)
OpenAlex
W2144749179
Cited by
269
References
94
Citations by year
2026: 1 · 2025: 12 · 2024: 12 · 2023: 17 · 2022: 24 · 2021: 31 · 2020: 13 · 2019: 20 · 2018: 23 · 2017: 19 · 2016: 16 · 2015: 22 · 2014: 18 · 2013: 13 · 2012: 16
FWCI
16.55
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Hospitality Management (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
  • Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
  • Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
Keywords
relationship benefits, perceived value, customer loyalty, customer retention, customer perceived value, competitive strategy, hospitality marketing

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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